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Parallel MATLAB for Multicore and Multinode Computers

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Part of Software, Environments and Tools

Author: Jeremy Kepner, Massachusetts Institute of Technology

Date Published: July 2009
availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
format: Hardback
isbn: 9780898716733

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$ 85.99 (P)
Hardback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

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Description

Contents

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About the Authors

This is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce efficient parallel programs. MATLAB is currently the dominant language of technical computing with one million users worldwide, many of whom can benefit from the increased power offered by inexpensive multicore and multinode parallel computers. MATLAB is an ideal environment for learning about parallel computing, allowing the user to focus on parallel algorithms instead of the details of implementation. This book is a reference for professional scientists and engineers and will also be beneficial to graduate students and advanced undergraduate students as a textbook for a parallel computing course.
- This book covers more parallel algorithms and parallel programming models than any other parallel programming book due to the succinctness of MATLAB
- Promotes a 'hands on' approach with numerous examples
- Examples are drawn from widely known and well-documented parallel benchmark codes that are representative of many real applications across the field of technical computing
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Product details
- Date Published: July 2009
- format: Hardback
- isbn: 9780898716733
- length: 273 pages
- dimensions: 261 x 182 x 21 mm
- weight: 0.68kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
List of figures
List of tables
List of algorithms
Preface
Acknowledgments
Part I. Fundamentals:
1. Primer: notation and interfaces
2. Introduction to pMATLAB
3. Interacting with distributed arrays
Part II. Advanced Techniques:
4. Parallel programming models
5. Advanced distributed array programming
6. Performance metrics and software architecture
Part III. Case Studies:
7. Parallel application analysis
8. Stream
9. RandomAccess
10. Fast Fourier transform
11. High performance Linpack
Appendix. Notation for hierarchical parallel multicore algorithms
Index.
Author
Jeremy Kepner, Massachusetts Institute of Technology
Jeremy Kepner is a senior technical staff member at MIT Lincoln Laboratory. His research focuses on the development of advanced libraries for the application of massively parallel computing to a variety of data intensive signal processing problems on which he has published many articles. Jeremy is most proud of the opportunity he has had to be the principal architect, principal investigator, or otherwise co-leader of several very talented teams. These teams have produced a number of innovative technologies that have broken new ground in parallel computing.